Dedicated GPU memory guides
These Windows/NVIDIA guide pages use dedicated GPU memory as the primary fit budget and keep partial offload separate from a full GPU fit.
Alibaba Cloud · Qwen
Qwen3 14B local AI fit guide
Review available GGUF variants, quantization choices, and conservative memory-planning levels for running Qwen3 14Blocally.
- Parameters
- 14B
- Size class
- medium
- Use cases
- chat, coding, reasoning
- Catalog context
- 40,000 tokens
GGUF variants
| Variant | Quantization | Estimated file | Minimum load | Planning memory |
|---|---|---|---|---|
| Qwen3 14B · Q4_K_M | Q4_K_M | 9 GB | 10.4 GB | 12.2 GB |
| Qwen3 14B · Q5_K_M | Q5_K_M | 10.1 GB | 11.6 GB | 13.6 GB |
GPU compatibility
GPUs with a verified memory-fit path for Qwen3 14B
These pages compare this model's recorded GGUF variants against the dedicated VRAM of selected NVIDIA GPUs. They are deterministic memory-fit checks, not performance benchmarks.
Apple Silicon unified-memory guides
Apple Silicon pages use conservative unified-memory budgets and Metal-capable local inference terminology instead of treating the Mac as a CUDA workstation.
Fit caveats
These are deterministic memory-planning checks, not benchmark claims. Context length, runtime settings, offload behavior, and concurrent apps can change practical fit.